Instructions to use yarik921/Teflon_0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yarik921/Teflon_0.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yarik921/Teflon_0.2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("yarik921/Teflon_0.2") model = AutoModelForCTC.from_pretrained("yarik921/Teflon_0.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 211 Bytes
9014569 | 1 2 3 4 5 6 7 8 9 10 | {
"bos_token" : "<s>",
"do_lower_case" : true,
"eos_token" : "</s>",
"pad_token" : "<pad>",
"tokenizer_class" : "Wav2Vec2CTCTokenizer",
"unk_token" : "<unk>",
"word_delimiter_token" : "|"
}
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